We collaborate with clinicians in the US and Israel to obtain tumor samples and analyze them using cutting edge single cell and spatial technologies. We identify subpopulations of cells with clinical significance and decipher their determinants, functions, spatial organization and cell-cell interactions. To further understand how tumor ecosystems evolve during treatment we are comparing matched clinical samples (from the same patient) before and after treatments. These approaches are applied primarily to glioma (Science 2014, Nature 2016, Science 2017, Science 2018, Cell 2019, Cancer Cell 2021, Cancer Cell 2024, Cell 2024) and to head and neck cancer (Cell 2017, Nature Genetics 2023). In addition, we have curated single cell data from more than 1000 tumors to identify cell states across diverse cancers (Nature 2023) and we are continuing to expand this dataset and to make it available, along with various analysis, through the Curated Cancer Cell Atlas
Tumor systems biology
